G. O. Ogofotha’s research while affiliated with Federal University Lokoja and other places

Pollution of waterways is increasing geometrically on daily basis and this is becoming a serious threat to human health, aquatic ecosystems and aquaculture, these pollutions mostly include heavy metals. These heavy metals pose danger due to their high ability of bio accumulation and bio magnifications along the aquatic food chain. Thus, the aim of this research work is to determine the efficiency of Tea Leaves and Tea Fibre as adsorbents in the removal of Cu2+ from aqueous solutions. From the analysis, the adsorbents show high efficiency above 97% in the removal Cu2+during the treatment of waste water. The high efficiency of the used adsorbents in the removal of Cu2+ from aqueous solution shows its distinctive property as good adsorbents; hence tea fibre and tea leaves may be used in the treatment of waste water containing Cu2+.

Globally, industrial waste contamination of water bodies has posed a serious environmental problem. This research aimed to investigate the sorption of iron using tea leaves and fibers as adsorbents. The parameters investigated were; contact time, dosage of adsorbent, pH, temperature, and starting concentration which provide information about kinetics, thermodynamics, and equilibrium conditions of the sorption system. For both adsorbents, the maximum sorption capacity occurs within 35-40 minutes, with the best sorption pH ranging from 5-7. Likewise, the dosage of adsorbent and initial concentration of adsorbate has maximum sorption capacity occurring from 3-4 mg and 40-50 mg/L respectively. There was a step increase in % removal as the temperature increased with maximum activity occurring at 60 to 70 o C for both adsorbents. The pseudo first-order model best described the kinetics, providing the most convincing fit with R2 values of 0.9915, 0.9983, 0.9982.and 0.986 respectively. The Langmuir model provided a better fit for explaining the system's equilibrium state, with R 2 values of 0.8177 for tea fiber and 0.9637 for tea leaf. The calculated thermodynamic parameters for tea fiber (-9550kjmol-1 ,-9709kjmol-1 ,-9868kjmol-1 and-10026kjmol-1) and tea leaf (-6829kjmol-1 ,-6944kjmol-1 ,-7059kjmol-1 and-7174kjmol-1) confirm the system's feasibility, spontaneity, and disorderliness under viable adsorption conditions.

The isomers of C4H5N consisting of eleven members (2-vinyl-2H-azirene, Isocyanocyclopropane, Ally isocyanide, N-vinylethyleneimine, Cyanocyclopropane, 2H-pyrrole, 3H-pyrrole, Ally cyanide, 2-cyanopropene, 2-butenenitrile, Pyrrole) have been studied computationally using the Gaussian-4 (G4) compound model with the Gaussian 09 suite of programs. Quantum chemical parameters such as standard enthalpy of formation, vibrational frequencies, rotational constants, bond distance and angle, and dipole moment were obtained and compared with experimental values (where available). Pyrrole was predicted to be the most stable among the C4H5N isomers with the least standard enthalpy of formation of 24.1kcal/mol. The calculated bond distances and angles for pyrrole were observed to be in excellent agreement with the measured experimental values. Also, the calculated rotational constants (A= 9.1392127, B=9.0066121, C=4.5362140) and dipole moment (1.8628D) for pyrrole were accurately predicted when compared to the experimentally determined values. Thus, the high accuracy obtained from this quantum chemical calculation indicates that other isomers of C4H5N with no experimental values are well predicted with the Gaussian-4G4 compound model.

Quantum chemical calculations have been carried out on C4H4N2 isomeric molecular species using the G4 method and compared with experimental values were available, probing parameters like thermochemistry, structural parameters (e.g. Bond length, bond angles), rotational constants, vibrational spectroscopy and dipole moments. Pyrimidine was discovered to be the most stable of all the isomers with \DeltafH0 =37.1 kcal/mol. A critical analysis showed high correlation and consistency between the computed and experimental values of all the parameters under study and therefore providing the needed rationale to validate the values provided for the isomers which do not have available experimental data.